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Research Article | Open Access

An adaptive finite element method based on Superconvergent Cluster Recovery for the Cahn-Hilliard equation

Wenyan Tian1Yaoyao Chen2Zhaoxia Meng3Hongen Jia1( )
College of Mathematics, Taiyuan University of Technology, Tai'yuan 030024, China
School of Mathematics and Statistics, Anhui Normal University, Wu'hu 241000, China
Department of energy and power engineering, Shanxi Institute of Energy, Tai'yuan 030024, China
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Abstract

In this study, we construct an error estimate for a fully discrete finite element scheme that satisfies the criteria of unconditional energy stability, as suggested in [1]. Our theoretical findings, in more detail, demonstrate that this system has second-order accuracy in both space and time. Additionally, we offer a powerful space and time adaptable approach for solving the Cahn-Hilliard problem numerically based on the posterior error estimation. The major goal of this technique is to successfully lower the calculated cost by controlling the mesh size using a Superconvergent Cluster Recovery (SCR) approach in accordance with the error estimation. To demonstrate the effectiveness and stability of the suggested SCR-based algorithm, numerical results are provided.

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Electronic Research Archive
Pages 1323-1343

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Cite this article:
Tian W, Chen Y, Meng Z, et al. An adaptive finite element method based on Superconvergent Cluster Recovery for the Cahn-Hilliard equation. Electronic Research Archive, 2023, 31(3): 1323-1343. https://doi.org/10.3934/era.2023068

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Received: 22 October 2022
Revised: 12 December 2022
Accepted: 26 December 2022
Published: 15 March 2023
©2023 the Author(s), licensee AIMS Press.

This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)